OCMI MUTUAL FUND TRUST
  
What is a mutual fund trust (MFT)?
It is similar to the structure of a Limited Partnership (LP).
Instead of a General Partner taking care of operations for the LP, the mutual fund trust has a Trustee and Unit Holders instead of the Limited Partners.
The same level of protection applies: Unit Holders only risk their original investment, maintaining their limited liability status.
The Trustee invests in real estate projects.
The benefit of a MFT is its ability to accept cash, RRSP, RESP, LIRA, and TFSA funds.
MFTs operate as a flow-through entity and are tax-efficient, flowing income and capital gains to investors.
ARE YOU ELIGIBLE TO INVEST?
There are 3 categories of investors that qualify to invest in OCMI Mutual Fund Trust.
1: accredited investor exemption;
2: eligible investor exemption;
3: minimum amount $150,000 exemption no longer applies to individuals, but to an existing Person (another word for corporate entity) that was not created for the sole purpose of investing in the fund.
There is no qualification or certification process to achieve accredited investor status except for meeting the financial definitions.
We can now accept investor funds from BC, Alberta, Saskatchewan, Manitoba, Quebec, New Brunswick, Prince Edward Island, Nova Scotia, and Newfoundland.
STATISTICALLY SPEAKING
The professor told our class it should take no more than 2 hours to complete the final take home exam.
I don't know if I should be embarrassed or proud of the fact that it took me 28 hours to figure out the SPSS outputs and conclusions for 8 hypotheses.
Learning how to run a t-test, correlations, analyze variances with one-way ANOVA or factorial ANOVA, using linear regression to predict the future, and nonparametric tests over 6-weeks was the easy part.
The challenging part is translating a case study and figuring out which test to run and providing the interpretation of the values.
In statistics, there is no such thing as proof; only proving what is false.
The entire science of statistics was developed to account for the error in every test.
A Type 1 error is rejecting the null hypothesis = there is a statistically significant difference.
A Type 2 error is failing to reject the null hypothesis = basically, accepting random chance.
It felt like taking accounting 101 and learning debits and credits for the first time.
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